A Theoretical and Practical Review of AI-adaptive Learning Technologies and Interactive Platforms in Teaching English

Abstract

This article explores the integration of artificial intelligence (AI)-driven adaptive learning systems into the process of teaching English as a second or foreign language, emphasizing the increasing significance of interactive technologies in contemporary language education. Recent progress in artificial intelligence has significantly transformed educational approaches, particularly in English language instruction, by facilitating more flexible and learner-centered earning environments. AI-based adaptive learning systems employ machine learning, natural language processing, and data analytics to monitor learner performance and personalize content, pacing, and feedback. By determining the specific strengths and challenges of each student these systems provide targeted support that enhances the effectiveness of language learning. Interactive technologies such as virtual classrooms, digital simulations, gamified platforms, and AI-driven conversational agents promote learner engagement, active participation, and real-time communicative practice. The integration of adaptive AI systems with interactive technologies facilitates authentic language use through simulated real-world scenarios and collaborative activities. This approach promotes the development of linguistic accuracy and communicative competence while fostering learner autonomy in virtual learning environments. The study examines the theoretical foundations of adaptive learning within learner-centered and constructivist pedagogical frameworks and reviews international research on the application of AI and interactive technologies in English language education. Special focus is placed on intelligent tutoring systems, automated feedback mechanisms, AI-based assessment tools, and interactive platforms that support the acquisition of grammar, vocabulary, pronunciation, and communicative skills. Empirical evidence from international studies demonstrates that AI-driven adaptive and interactive learning environments enhance learner motivation, increase engagement, and lead to improved learning outcomes compared to traditional instructional methods.